Results 21 to 30 of about 107,979 (335)
Stochastic Behavior Analysis of the Gaussian Kernel Least-Mean-Square Algorithm [PDF]
, 2012 The kernel least-mean-square (KLMS) algorithm is a popular algorithm in nonlinear adaptive filtering due to its simplicity and robustness. In kernel adaptive filters, the statistics of the input to the linear filter depends on the parameters of the ...
Bermudez, José Carlos Moreira +3 more
core +6 more sources
Energies, 2019 With the popularity of electric vehicles, lithium-ion batteries as a power source are an important part of electric vehicles, and online identification of equivalent circuit model parameters of a lithium-ion battery has gradually become a focus of ...
Xiangdong Sun +4 more
doaj +1 more source
Complexity, 2021 This paper studies the state of charge (SOC) estimation of supercapacitors and lithium batteries in the hybrid energy storage system of electric vehicles.
Kai Wang +7 more
doaj +1 more source
Adaptive recursive algorithm for optimal weighted suprathreshold stochastic resonance [PDF]
Royal Society Open Science, 2017 Suprathreshold stochastic resonance (SSR) is a distinct form of stochastic resonance, which occurs in multilevel parallel threshold arrays with no requirements on signal strength.
Liyan Xu +4 more
doaj +1 more source
On fast multiplication of a matrix by its transpose [PDF]
, 2020 We present a non-commutative algorithm for the multiplication of a 2x2-block-matrix by its transpose using 5 block products (3 recursive calls and 2 general products) over C or any finite field.We use geometric considerations on the space of bilinear ...
Dumas, Jean-Guillaume +2 more
core +3 more sources
A Recursive Least M-Estimate Algorithm for Robust Adaptive Filtering in Impulsive Noise: Fast Algorithm and Convergence Performance Analysis [PDF]
, 2004 This paper studies the problem of robust adaptive filtering in impulsive noise environment using a recursive least M-estimate algorithm (RLM). The RLM algorithm minimizes a robust M-estimator-based cost function instead of the conventional mean square ...
Chan, SC, Zou, YX
core +1 more source
Novel identification algorithms for Hammerstein systems in ill-conditioned situations
Systems Science & Control Engineering, 2021 Two algorithms named Recursive Least Square algorithm for Ill-Conditioned situations (RLS-IC) and Multi Innovation Stochastic Gradient algorithm for Ill-Conditioned situations (MISG-IC) are proposed based on multi-innovation identification theory, least ...
A. Nejati, B. Safarinejadian
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Fast adaptive blind beamforming technique for cyclostationary signals [PDF]
, 1999 Castedo et al. (1995) have present a blind beamforming criterion based on the property of cyclostationary signals. A stochastic gradient-based algorithm, which needs to choose the step size suitably, was derived to compute the optimum weight vector.
Chen, Y, He, Z, Kwok, PCK, Ng, TS
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Energies, 2018 The model parameters of the lithium-ion battery are of great importance to model-based battery state estimation methods. The fact that parameters change in different rates with operation temperature, state of charge (SOC), state of health (SOH) and other
Bizhong Xia +8 more
doaj +1 more source
International Journal of Electrochemical Science, 2021 In the battery management system, the state-of-energy is an important state to represent the remaining energy of the battery. The equivalent circuit model is the key to predicate this state of the lithium-ion battery.
Lili Xia +5 more
doaj +1 more source